Senior Data Engineer

On-site

Requirements

At Sword, we’re building AI to heal billions and unlock humanity’s full potential.
In doing so, we’re pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact.
As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need—and ultimately get back to lives lived in full.
Since 2020, Sword has expanded across physical therapy, women’s health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience.
More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs.

Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare.

At Sword, data is core to our mission to build a pain-free world.
The Data Core team owns the batch and analytics layer that powers company-wide reporting, clinical insight, commercial analytics, and decisions across the business - the pipelines, models, and warehouse that every stakeholder at Sword depends on.
This role is for an engineer who loves the craft of turning raw data into trusted, modeled, analysis-ready datasets.
You’ll design and operate the batch pipelines that land clean data in the warehouse, own the transformation layer, and be the partner that analysts, product managers, and clinical researchers rely on when they need to make a decision.